A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition-Reference-Cited by-同舟云学术

A multiple frequency bands parallel spatial–temporal 3D deep residual learning framework for EEG-based emotion recognition

Published:2023-01 Issue: Volume:79 Page:104141
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Miao Minmin^ORCID,Zheng Longxin,Xu Baoguo,Yang Zhong,Hu Wenjun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference62 articles.

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3. EmotionMeter: A multimodal framework for recognizing human emotions;Zheng;IEEE Trans. Cybern.,2019

4. Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks;Zheng;IEEE Trans. Auton. Ment. Dev.,2015

5. Multichannel EEG-based emotion recognition via group sparse canonical correlation analysis;Zheng;IEEE Trans. Cognit. Dev. Syst.,2017

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